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Customers Who Bought This Item Also Bought
Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop |
by C. M. ビショップ
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by Gary Bradski
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Product Description
Amazon.co.jp
本書は、パターン認識の観点からニューラルネットワークの堅実で統計的な基礎を築いている。多層パーセプトロンやラジアル基底関数など、実際のアプリケーションで最も広く使用されている種類のニューラルネットに絞られている。ビショップはニューラルネットワークをあれこれ挙げるのではなく、刺激密度、エラー関数、パラメータ最適化アルゴリズム、データ前処理、およびBayesian方式などの項目をじっくりと解説している。
すべての主題はよく構成されていて、数学的な基礎もニューラルネットワークでの使用を語る前にきちんと説明されている。ニューラルネットワークを専攻する大学院生、専門課程に進んだ大学生、またはニューラルネットワークを実際のプログラムに応用したい技術者に適した内容となっている。読者には、大学の理学課程で必要とされる程度の数学の知識があることが前提となる。
すべての主題はよく構成されていて、数学的な基礎もニューラルネットワークでの使用を語る前にきちんと説明されている。ニューラルネットワークを専攻する大学院生、専門課程に進んだ大学生、またはニューラルネットワークを実際のプログラムに応用したい技術者に適した内容となっている。読者には、大学の理学課程で必要とされる程度の数学の知識があることが前提となる。
Synopsis
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perception and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature extraction, and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.
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Inside This Book
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First Sentence
The term pattern recognition encompasses a wide range of information processing problems of great practical significance, from speech recognition and the classification of handwritten characters, to fault detection in machinery and medical diagnosis. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
The term pattern recognition encompasses a wide range of information processing problems of great practical significance, from speech recognition and the classification of handwritten characters, to fault detection in machinery and medical diagnosis. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
What Do Customers Ultimately Buy After Viewing This Item?
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54% buy Pattern Recognition and Machine Learning (Information Science and Statistics) ￥ 10,864 |
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30% buy the item featured on this page: Neural Networks for Pattern Recognition |
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16% buy パターン認識と機械学習 上 - ベイズ理論による統計的予測 ￥ 6,825 |
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